To discriminate between medicinal packages and show the correct information inside the AR interface, the application requires a component to perform inference. The latter was implemented as a deep neural network based on transfer learning and imported as the application inference engine via the iOS CoreML framework. In particular, an ImageNet pretrained densenet [1]} was selected due to its generally high classification performances as well as its internal architecture. In detail, this network leverages a dense connectivity by introducing links from any layer to any subsequent one, as shown in Fig. REF .
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